Geek Heresy: Rescuing Social Change from the Cult of Technology
Kentaro Toyama
"In 2004, Kentaro Toyama, an award-winning computer scientist, moved to India to start a new research group for Microsoft. Its mission: to explore novel technological solutions to the world's persistent social problems. Together with his team, he invented electronic devices for under-resourced urban schools and developed digital platforms for remote agrarian communities. But after a decade of designing technologies for humanitarian causes, Toyama concluded that no technology, however dazzling, could cause social change on its own. Technologists and policy-makers love to boast about modern innovation, and in their excitement, they exuberantly tout technology's boon to society. But what have our gadgets actually accomplished? Over the last four decades, America saw an explosion of new technologies - from the Internet to the iPhone, from Google to Facebook - but in that same period, the rate of poverty stagnated at a stubborn 13%, only to rise in the recent recession. So, a golden age of innovation in the world's most advanced country did nothing for our most prominent social ill. Toyama's warning resounds: Don't believe the hype! Technology is never the main driver of social progress. Geek Heresy inoculates us against the glib rhetoric of tech utopians by revealing that technology is only an amplifier of human conditions.
Award History
1 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PROSE Award for Business, Finance, and Management | 2016 | Winner | Official source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
03 Suggested argument
Technology is never the main driver of social progress; it mainly amplifies existing human conditions rather than causing social change on its own.
Model confidence 78%
04 Reading orientation
30 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 82%.